3 months ago
Santa Clara, CA, USAMid Level
Base Salary
$120k - $150k/yr
Responsibilities
- Design scalable machine-learning workflows for autonomous-vehicle scenario generation, including traffic simulations and synthetic scenarios from natural-language specifications.
- Develop tooling to migrate traditional scenario creation toward AI-based scenario understanding and validation.
- Own and maintain the simulation framework, improving its reliability and performance.
- Collaborate with internal customers and partner teams on test-creation workflows.
- Address simulation and autonomy-evaluation challenges involving motion planning, mapping, and controls.
- Build and extend software for behavior, pathfinding, road networks, spatial queries, collision detection, vehicle control, and vehicle dynamics.
Requirements
- Required: MS or higher in Computer Science, Machine Learning, or a related field.
- Required: Strong development skills in modern C++ and Python.
- Required: Proficiency with machine-learning libraries and experience with transformer and diffusion architectures.
- Required: Basic understanding of generative models.
- Preferred: 2+ years of industry experience in machine learning and C++ software.
- Preferred: Familiarity with autonomous-vehicle simulation environments and driving datasets.
Benefits
- Highly competitive salary and benefits package, including a 401(k) plan.
- Catered free lunch, unlimited snacks, and beverages.
- Opportunities for personal and professional development in an innovative, future-oriented field.
Categories
ML EngineeringRobotics
